DRESSX

DRESSX

DRESSX (More Dash Inc.) · Image · Business

DRESSX is an AI fashion platform that shows garments on a shopper's own photo or AI Twin. Brands use it to lift conversion and cut returns.

Interface preview of DRESSX

About DRESSX

What Is DRESSX

DRESSX is an AI fashion platform that puts virtual try-on inside a brand's product page. A shopper uploads a photo or builds an AI Twin, and the software renders any item on that body before a purchase happens. It launched in 2020 as a digital fashion label and shifted toward AI tools for fashion commerce.

The company sells the DRESSX AI Suite to brands rather than to individual shoppers. The pieces cover try-on, size recommendation, an AI stylist, an AI customer assistant, a self-serve studio that turns product packshots into model photo and video shoots, an in-store mirror, and a set of fashion AI APIs. Partner names on the site include Victoria Beckham, Farfetch, and Depop.

The bigger limits are structural. Prices are not published, so you have to talk to sales. The product is built for retail scale, which means a small shop gets less value than a large catalog does. Try-on also depends on decent source imagery and a clear full-body shot, and no AI model removes every wrong purchase, so results still call for review rather than blind trust.

Getting Started

  1. Contact the DRESSX team to book a demo and pick the products your catalog needs.
  2. Connect the store through the REST API, a drop-in widget, or a native integration such as Shopify.
  3. Upload product imagery, or let DRESSX pull the catalog from your ecommerce platform.
  4. Add the try-on button to your product pages and set where it sits in the layout.
  5. Shoppers try items on a photo or AI Twin, and the results feed back into conversion and return data.

Product Information

A quick look at DRESSX's pricing, supported platforms, and performance.

Free PlanNo
Paid PlansCustom enterprise pricing
PlatformWeb, iOS, Android, Shopify, in-store hardware
DeveloperDRESSX (More Dash Inc.)
CategoryImage · Business
Release DateJan 2020
Latest UpdatedSep 2026
Website VisitsN/A
Website Global RankN/A
API AvailabilityYes

Best for

The users, tasks, and scenarios where this tool fits best.

Users

  • Fashion ecommerce teams
  • Luxury and premium brands
  • Retail marketing and CRM teams
  • Physical retail operators

Tasks

  • Rendering garments on a shopper's photo
  • Recommending the right size
  • Generating catalog content
  • Building personalized lookbooks
  • Adding fashion AI to an existing app

Scenarios

  • Cutting returns on a high-volume category
  • Running a seasonal drop
  • Reviving a made-to-order or limited catalog
  • Personalizing a VIP outreach push

Key features

AI virtual try-on

DRESSX AI virtual try-on embeds in a brand's product page and renders a garment on a shopper's own image or an AI Twin, so a customer sees a realistic preview before buying. It works from a photo the shopper provides and existing product imagery, with no physical fitting involved. According to DRESSX, the tool reaches up to 75% certainty in fit, and the company reports conversion lifts near 40% and return rate cuts near 30% across integrated brands. Those figures come from DRESSX and shape the value case rather than guarantee a result.

AI Twin

AI Twin builds a reusable virtual version of a shopper from a single photo. Once it exists, the customer can try items and get styling without uploading a new picture every time, which keeps the experience moving. For a brand, that means the return visits stay personal instead of resetting to a cold start each session. It sits at the center of the company's personalization pitch, from product pages to personalized campaigns.

Size recommendation

The size recommendation piece uses the shopper's body data and the garment's measurements to suggest a fit. Since uncertain sizing drives a large share of returns, this is often the feature that pays for the integration on its own. It pairs with try-on, so a customer sees both the look and the size in one step. The accuracy depends on how complete the product sizing data is, so a thin data set limits how well it performs.

AI Studio

AI Studio is a self-serve platform that converts a packshot into full ecommerce photography and video at scale. A team uploads tops, bottoms, or full looks, adds shoes, sets a creative direction, and generates the assets in minutes. Bulk execution means a whole collection can be produced overnight instead of over weeks in a studio. For brands that shoot constantly, the saving is time and studio cost as much as image quality.

Fashion AI APIs

DRESSX offers a catalog of independent fashion AI APIs, each aimed at a single job: size recommendation, avatar generation, jewelry try-on, model-to-garment, mix and match, full-body try-on, and image to video. Every API comes with its own documentation and usage-based pricing, so a developer can add one capability without buying the whole suite. This suits teams that want to build a custom fashion experience rather than drop in an off-the-shelf widget.

Integration and white label

The platform connects through a full REST API for custom work, a widget or injection that goes live on a product page in hours, or native paths for Shopify, Magento, and Salesforce Commerce Cloud. CRM and ESP compatibility covers Klaviyo and Salesforce. Every product ships in full white label, so the experience carries the brand's identity and domain rather than DRESSX branding. The company reports an average go-live of 24 hours on a standard integration.

Pros and cons

Pros

  • Try-on, size recommendation, and AI styling live in one suite, so a brand does not have to stitch several vendors together.
  • White-label delivery keeps the experience on the brand's own domain and identity.
  • Native paths for Shopify, Magento, and Salesforce Commerce Cloud cut the integration work on common stacks.
  • A public API catalog lets developers add one capability at a time, each with usage-based pricing.
  • In-store mirror and clienteling tools extend the same technology past the online product page.

Cons

  • Pricing is not published, so a brand cannot estimate cost without a sales conversation, which slows early budgeting.
  • The suite is built for enterprise retail, so a small shop may not see enough return to justify the setup.
  • Try-on quality depends on a clear full-body photo and good product imagery, so weak inputs limit the result.
  • Reported lift and return figures come from DRESSX, and real outcomes vary by catalog, category, and traffic.

Frequently asked questions

DRESSX is an AI fashion platform that helps fashion brands improve the shopping experience. Its AI Suite includes virtual try-on, size recommendation, an AI stylist, and a self-serve content studio, so shoppers can see how a garment looks on them before buying.